Most manufacturers chasing AI visibility focus solely on content material quantity and technical fixes. These matter. However they don’t seem to be why AI recommends your competitor over you.
Right here’s what you want to bear in mind: AI engines like google do not rank pages within the conventional sense.
They construct a mannequin of your model from the alerts they discover throughout the net. Then they resolve whether or not to suggest you based mostly on elements like how clearly and confidently they’ll describe what you do, who you do it for, and the way related you’re to the particular question.
That makes constant, related model positioning one of many key variables in AI search visibility. And we’re not speaking sufficient about it.
How AI evaluates your model
AI programs construct a probabilistic understanding of your model based mostly on patterns throughout the whole lot they have been skilled on or can retrieve: your web site, press protection, critiques, associate mentions, social content material, and discussion board discussions.
All of it will get folded right into a single implicit judgment about what your model is, what it is identified for, and whether or not it is credible in a given context.
If AI associates a particular notion together with your model, it won’t floor you even for a seemingly related question. For instance, I requested ChatGPT to checklist the most effective WordPress internet hosting suppliers for small companies, but it surely did not point out the obvious alternative — WordPress.com.
This could possibly be for a couple of causes, together with how ChatGPT interprets “WordPress internet hosting.” However it’s value asking whether or not a hidden notion can be shaping how AI represents the model.
Constant, corroborated claims throughout a number of authoritative sources construct a stronger model and assist AI brokers make the most effective suggestions potential.
To contextualize this, our staff at Semrush just lately developed a search visibility framework that organizes the model alerts AI programs use to guage a model into 4 actionable layers: Discoverability, Readability, Authority, and Belief.
Every layer solutions a query AI is implicitly asking about your model. Can it discover you? Does it perceive you accurately? Does it take into account you certified? Does it belief you adequate to suggest you?
Profitable at every of those layers requires getting your positioning proper first.
How you can learn the way AI perceives your model
Step one is easy: Discover out what AI thinks about your model proper now and whether or not it recommends you the place it issues most.
You can begin manually. Open AI platforms like ChatGPT, Perplexity, and Gemini run a structured set of prompts throughout three classes:
- For direct model understanding: “What’s [Your Brand]?”; “What does [Your Brand] do?”; “What’s [Your Brand]’s major worth proposition?”
- For class context: “How do I [problem your product solves]?”; “What’s the easiest way to [outcome your product enables]?”; “What instruments or processes do [your target audience] use to [job to be done]?”; “Who ought to I observe or belief for recommendation on [your core topic]?”
- For aggressive positioning: “[Your Brand] vs [Competitor A]”; “Options to [Your Brand]”; “How is [Your Brand] completely different from [Competitor A]?”
That mentioned, AI solutions should not static. They’re customized, they shift as content material modifications, and two individuals asking the identical query will not at all times get the identical response. A handbook test provides you a directional snapshot at finest.
To trace how your model is being perceived over time, that you must go deeper. This may be achieved with Semrush’s AI Visibility Toolkit. The workflow appears to be like like this:
1. Begin with the Brand Performance report to get a high-level image: your AI Share of Voice in comparison with opponents and your AI sentiment rating.
For WordPress.com, the Model Efficiency report clearly reveals it is the class chief. Nonetheless, its favorable sentiment is simply 60%, suggesting there are nonetheless some probably problematic perceptions that AI associates with the model. Because of this, whereas AI acknowledges WordPress.com, it could not at all times suggest it due to these perceptions.
You too can have a look at particular cross-brand elements that affect progress, akin to worth, belief, and entry. Use them to benchmark efficiency and resolve the place to focus your efforts.
2. Subsequent, transfer to the Perception report to know the specifics: what AI constantly praises about you, what it flags as a weak point, and the way that breaks down by function class.
Wanting on the report, we will clearly see the optimistic perceptions AI programs attribute to WordPress: ecommerce options and a managed efficiency stack that scales, flexibility, and ease of use. These strengths needs to be highlighted throughout the corporate’s property.
On the similar time, there are detrimental perceptions, and a few of them are literally outdated. For instance, ChatGPT thinks that plugins are solely obtainable on higher-tier plans, regardless that that has just lately modified. The Notion report additionally highlights numerous limitations for each newbie and superior customers.
All of those assumptions that AI makes a couple of model come from a number of sources throughout the net. They are a direct reflection of the hole between how the model positions itself and the way the broader internet, and subsequently AI, has come to know it.
To shut that hole, WordPress first must outline the place it needs to focus: which perceptions to appropriate, which strengths to double down on, and which audiences to prioritize. From there, it will possibly replace present content material on its web site, create new content material that addresses the gaps, and push the correct narrative on exterior platforms like Reddit and assessment websites.
3. Lastly, go to the Narrative Drivers report to see the high-intent queries that includes your model and the exterior sources AI is pulling from, so which sources to focus on and which queries to construct content material round.
How you can handle model positioning and perceptions in AI search
Controlling and managing model perceptions is a three-part course of: clearly outline your model positioning, make it seen by yourself web site, then reinforce it externally.
Step 1: Do your model positioning homework first
As shocking because it might sound, many manufacturers haven’t got a clearly outlined positioning. Some are attempting to serve everybody, leaping from one angle to a different, or are in the midst of a transition.
That ambiguity reveals up immediately in how AI describes and recommends you.
Earlier than doing any content material work, get this down first:
- Who you serve: The precise viewers or purchaser persona you are focusing on
- What you do for them: The core final result or drawback you remedy
- Why you are credible: The proof factors, credentials, and differentiators that again it up
Then examine that towards what the AI audit utilizing the Brand Performance and Perception stories revealed. For every positioning attribute that issues to your consumers, ask: Does AI know this about us? Does it say it constantly? Does it say it favorably?
Let’s have a look at some examples from Semrush case research.
For rtCamp — a WordPress design company — the positioning was clear internally. They serve enterprise consumers who weigh safety and compliance closely. The credentials existed: SOC 2 Sort II, ISO 27001, and FedRAMP authorization by way of WordPress VIP. Nonetheless, AI tools weren’t highlighting security enough compared to other features.
For WorkLounge, a coworking space, the mismatch was even deeper. The Perceptions report revealed that AI programs describe the area as loud, with 9-to-5 entry solely and no quiet zones. All of that is inaccurate.
The model’s precise strengths — 24/7 member entry, devoted quiet zones, and versatile workspace choices — merely weren’t documented anyplace AI might discover them.
In each instances, the content material drawback was a positioning readability drawback first.
Step 2: Audit your web site content material and replace it to shut notion gaps
From right here, audit your present web site content material to test whether or not your positioning is seen and constant, then handle the notion gaps you recognized in step 1.
Undergo your highest-traffic and highest-intent pages and ask: Does this web page clearly talk who we serve, what we do, and why we’re credible? Particularly:
- Are credentials, certifications, and belief alerts in crawlable web page content material?
- Do service and product pages constantly mirror your present positioning?
- Are pages structured so AI can extract data cleanly: clear headers, FAQ sections, direct solutions up entrance?
- Are the optimistic and detrimental perceptions recognized throughout analysis correctly and visibly addressed?
- Do all owned channels inform the identical story?
Then, replace your web site content material to make sure consistency, create lacking pages, and provides AI brokers the data they should perceive and suggest your model
Step 3: Reinforce your positioning by way of exterior channels
As soon as your web site displays your positioning precisely, push the identical narrative throughout the exterior sources that form how AI programs perceive your model.
The channels that matter will rely in your {industry}, however some generally necessary ones embrace:
- Overview platforms: G2, Clutch, Trustpilot, and any industry-specific assessment websites. Third-party validation is a belief sign for each AI fashions and human consumers.
- Press and {industry} protection: Get your key positioning attributes into the tales journalists write about you. If safety and compliance matter to your consumers, these phrases want to look in exterior protection.
- Partnerships and ecosystem mentions: Being related to credible manufacturers strengthens your individual credibility sign. Make these relationships seen and ensure companions reference you precisely.
- Social and neighborhood platforms: LinkedIn, Reddit, and {industry} boards all feed into AI’s image of your model. Constant messaging throughout these platforms reinforces what your web site already says.
Positioning is the brand new visibility issue
For many of search engine optimisation’s historical past, model positioning sat outdoors the self-discipline. It was usually the model or advertising staff’s job, not the content material staff’s.
AI search has blurred that line.
The identical mannequin that determines whether or not to quote your weblog submit can be deciding whether or not your organization sounds reliable sufficient to suggest.
The outcomes, nonetheless, are well worth the effort:
- rtCamp’s general favorable sentiment moved from 73% to 100% in a month, with their particular safety and compliance sentiment climbing to 100%, and natural kind fills up 117%.
- WorkLounge’s sentiment rating went from 67 to 82 over 5 months, AI Overview visibility almost doubled from 17% to 34%, and visitors from ChatGPT grew nearly 20x.
The Brand Performance report in Semrush’s AI Visibility Toolkit helps you keep on high of this. Observe AI sentiment and perceptions towards your opponents and spot strategic alternatives as they shift. In case you’re questioning what makes AI select alternate options over you, that is the place to start out.
